Airline Green Operations Strategy

2020 ◽  
pp. 190-212
Keyword(s):  
Theoretical Models ◽  
Decision Makers ◽  
Operations Strategy ◽  
Effective Strategy ◽  
Future Improvement ◽  
Clear Idea

This chapter recommends future improvement on airline green operations strategy patterns. To achieve this aim, the ineffective green operations strategy of 12 airlines from five regions were analyzed, and changes on the ineffective strategies have been recommended. The average overall index of all green indicators will be improved to be positive. All indices of all regions will be improved to be positive. The number of effective patterns after improvement will be seven. In addition, the green indices achieved after improvement will be moderate. This chapter helps the decision makers and the academics alike. The academics have in-depth results about the most effective strategy patterns that could be utilized to develop more extended theoretical models. The experts in the industry have a clear idea about the recommended effective strategy patterns that could be adopted.

Airline Effective Green Operations Strategy Patterns

2020 ◽  
pp. 153-171
Keyword(s):  
Water Management ◽  
Data Analysis ◽  
Waste Management ◽  
Ghg Emissions ◽  
Decision Makers ◽  
Operations Strategy ◽  
Effective Strategy ◽  
Analysis Techniques ◽  
Noise Management

This chapter reports the effective green operations strategy patterns. To achieve this aim, the green operations strategy patterns of 23 airlines from five regions were investigated. This chapter depended on the results of previous chapters. Accordingly, the reported effective green operations strategy under each indicator was used to report the effective green operations strategy patterns. The special tailored data analysis techniques were used for this purpose. The chapter reported eight effective strategy patterns, the strategy patterns were water management, waste management+, GHG and noise management, GHG emissions, GHG waste and noise, GHG and water management+, do all and noise management. This chapter helps the decision makers and the academics alike since all effective patterns were identified.

scholarly journals Multi-attribute Decision-making is Best Characterized by an Attribute-Wise Reinforcement Learning Model

2017 ◽  
Author(s):  
Shaoming Wang ◽  
Bob Rehder
Keyword(s):  
Computational Models ◽  
Theoretical Models ◽  
Decision Makers ◽  
Common Finding ◽  
Cue Competition ◽  
Recency Effects ◽  
Multiple Attribute ◽  
Multi Attribute Decision Making ◽  
The Common ◽  
Alternative Choice

AbstractChoice alternatives often consist of multiple attributes that vary in how successfully they predict reward. Some standard theoretical models assert that decision makers evaluate choices either by weighting those attribute optimally in light of previous experience (so-called rational models), or adopting heuristics that use attributes suboptimally but in a manner that yields reasonable performance at minimal cost (e.g., the take-the-best heuristic). However, these models ignore both the possibility that decision makers might learn to associate reward with whole stimuli (a particular combination of attributes) rather than individual attributes and the common finding that decisions can be overly influenced by recent experiences and exhibit cue competition effects. Participants completed a two-alternative choice task where each stimulus consisted of three binary attributes that were predictive of reward, albeit with different degrees of reliability. Their choices revealed that, rather than using only the “best” attribute, they made use of all attributes but in manner that reflected the classic cue competition effect known as overshadowing. The time needed to make decisions increased as the number of relevant attributes increased, suggesting that reward was associated with attributes rather than whole stimuli. Fitting a family of computational models formed by crossing attribute use (optimal vs. only the best), representation (attribute vs. whole stimuli), and recency (biased or not), revealed that models that performed better when they made use of all information, represented attributes, and incorporated recency effects and cue competition. We also discuss the need to incorporate selective attention and hypothesis-testing like processes to account for results with multiple-attribute stimuli.

Achieving Cooperation under Anarchy: Strategies and Institutions

1985 ◽  
Vol 38 (1) ◽  
pp. 226-254 ◽  
Author(s):  
Robert Axelrod ◽  
Robert O. Keohane
Keyword(s):  
World Politics ◽  
Considerable Extent ◽  
Decision Makers ◽  
Effective Strategy ◽  
The Future ◽  
Multilevel Games

Cooperation and discord in world politics are explained to a considerable extent by the three factors discussed in the Introduction: mutuality of interest, the shadow of the future, and the number of players. Yet the context of interaction, perceptions, and strategies is also important. Issues are linked to one another through multilevel games, which may be compatible or incompatible. Whether reciprocity constitutes an effective strategy depends both on linkages among issues and on the institutions within which negotiations take place. Perceptions are always significant and often decisive. Decision makers often actively seek to change the contexts within which they act by linking issues, trying to alter others' perceptions, establishing institutions, and promoting new norms. This finding suggests the importance of linking the upward-looking theory of strategy with the downward-looking theory of regimes.

scholarly journals Surveys of residents’ attitudes to tourism development

2007 ◽  
pp. 220-227
Author(s):  
Katalin Vargáné Csobán
Keyword(s):  
Rural Communities ◽  
Tourism Development ◽  
Theoretical Models ◽  
Decision Makers ◽  
Development Programs ◽  
The Public ◽  
The Social ◽  
Economic Downturns ◽  
Development Plans ◽  
Residents Attitudes

Tourism has an important role in the various development plans and strategies around the world. It has also become an important component of rural development programs, as rural communities experiencing serious economic downturns often consider tourism to be a possible way of development. The expected positive economic and social impacts may not occur and negative tendencies are reinforced if communities do not support or even oppose tourism development. For this reason, it is highly important for planners and decision-makers to understand how the public perceives the tourism industry.In the international literature there is a growing number of studies about residents’ attitudes toward tourism development. In the present study I review the social and economic factors that influence the attitudes of residents and communities, as well as demonstrate the typologies that were created on the basis of the results. Finally, I summarize the theoretical models that are used to interpret the results of the investigations.

Equilibrium models intended to overcome limits

2017 ◽  
Author(s):  
Lawrence A. Boland
Keyword(s):  
General Equilibrium ◽  
Computable General Equilibrium ◽  
Theoretical Models ◽  
Dynamic Stochastic General Equilibrium ◽  
Decision Makers ◽  
Equilibrium Models ◽  
Computable General Equilibrium Models ◽  
General Equilibrium Models ◽  
Dynamic Stochastic ◽  
Applied General Equilibrium Models

This chapter will critically examine today’s common ways to build equilibrium models. These specifically include Dynamic-Stochastic General Equilibrium models, game theoretical models and empirical GE models. Each of these types of equilibrium model try to address the issues of how a model’s decision makers get the information needed to guarantee the attainment of a state of equilibrium. The chapter addresses the alleged limits of general equilibrium models (particularly the issues of dynamics, time and expectations), the current attempts to overcome the limits of general equilibrium models, and three empirical alternatives to Walrasian general equilibrium models. These alternatives include the Computable General Equilibrium models and the Applied General Equilibrium models. The third model involves building econometric models only after evaluating the statistical properties of the data before using them in the model.

Airline Effective Green Operations Strategy Patterns

2020 ◽  
pp. 172-189
Keyword(s):  
North America ◽  
Middle East ◽  
South America ◽  
Decision Makers ◽  
Operations Strategy ◽  
Green Practices ◽  
Green Strategy

This chapter reports airline effective green operations strategy patterns adopted by each region. To achieve this aim, green practices of 23 airlines from five regions were investigated. The data used in this chapter was the effective green operations strategy that adopted by each airline, which is the result of the previous chapter. The chapter reported the effective green strategy patterns that adopted by each region. The effectiveness of these strategy patterns was moderate in Asia, Europe, the Middle East, and North America, but high in South America. This chapter helps decision makers and academics alike, since the decision makers can adopt the most effective patterns. In addition, the academics have in-depth insight about the green strategy patterns that adopted by each region, so the propositions and hypotheses of future researches could be formulated according to the results of this study.

Computational Intelligence in Energy Generation

2020 ◽  
pp. 1-62
Keyword(s):  
Predictive Modeling ◽  
Computational Intelligence ◽  
Nuclear Power ◽  
Power Plants ◽  
Energy Generation ◽  
Decision Makers ◽  
Analytic Capacity ◽  
Effective Strategy ◽  
System Complexity ◽  
Coal Power

As economies become increasingly complex, so do their associated energy generation systems. Therefore, engineers and decision makers in this sector are spurred to seek out state-of-the-art approaches to deal with this rapid increase in system complexity. An effective strategy to deal with this scenario is to employ computational intelligence (CI) methods. CI supplements the heuristics used by the engineer—enhancing the cumulative analytic capacity to effectively resolve complicated scenarios. CI could be split to two classes: predictive modeling and optimization. In this chapter, past applications of CI in energy generation are discussed. The sectors presented here are renewable energy systems, distributed generation, nuclear power plants, coal power, and gas-fueled plants.

To which extent do projects explore the opportunity space?

2014 ◽  
Vol 7 (3) ◽  
pp. 473-492 ◽  
Author(s):  
Knut Samset ◽  
Bjorn Andersen ◽  
Kjell Austeng
Keyword(s):  
Theoretical Models ◽  
Concept Development ◽  
Decision Processes ◽  
Decision Makers ◽  
Final Choice ◽  
Content Type ◽  
Execution Phase ◽  
Objective Reasoning ◽  
Practical Implications ◽  
Selection Of

Purpose – The purpose of this paper is to explore a selection of projects to understand how conceptual appraisals and choice of concepts are handled, and to which extent the conceptual opportunity space is exploited. Design/methodology/approach – The study is essentially case based, and rooted in a number of in-depth studies of single-project cases. Its study combines information from document studies with interview data, and culminates in normative recommendations. Findings – The study found that the projects do indeed not exploit the opportunity space to a very large extent. The lessons from the present study is that the final choice is determined more by decision makers than the analysts, and will often be the result of policy and preferences more than objective reasoning. Which again suggests that the efforts as analysts will often be in vain. Research limitations/implications – These findings could influence theoretical models outlining project establishment and decision processes. Practical implications – The study has identified many shortcomings in public sector processes that could be utilized to alter such processes. Originality/value – The study is original in that it focusses on the concept development phase of projects, rather than the traditional execution phase, and has studied decision processes.

scholarly journals Production Engineering Education in India

2015 ◽  
Vol 6 (1) ◽  
pp. 21-25 ◽  
Author(s):  
Sushant Khare ◽  
Shrish Bajpai ◽  
P.K. Bharati
Keyword(s):  
Engineering Education ◽  
Decision Makers ◽  
Private Institutions ◽  
Production Engineering ◽  
Educational Structure ◽  
Simulation Tools ◽  
Education In India ◽  
The Subject ◽  
Clear Idea ◽  
Different Levels

Abstract Present paper deals with the field of Production Engineering specifically its standard of education in India. This discipline of engineering focuses on the capability of an engineer not just as a technician but also as a manager. As a result industry is also favoring the development of this field. This paper reviews the educational structure followed in India for engineering education. It aims to give a clear idea of standard of this discipline's courses being run in India at different levels of engineering, considering both centrally funded and private institutions. It also covers the necessary simulation tools used to train the students during these courses and inspects over available web-resources related to the subject. In the epilogue it discusses the future prospects for this field's development as a discipline and concludes with a brief comparison of India's status from other regions of world. In the end we have made some suggestions to decision-makers based on our findings to improve the existing model.

scholarly journals Decision-Making under Stress and Its Implications for Managerial Decision-Making: A Review of Literature

2016 ◽  
Vol 6 (3) ◽  
pp. 38 ◽  
Author(s):  
Nuray Atsan
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Coping Strategies ◽  
Theoretical Models ◽  
Decision Makers ◽  
Decision Making Process ◽  
Review Of Literature ◽  
Managerial Decision ◽  
Managerial Decision Making

<p>We examine the main theoretical models of decision making under stress and the effects of decision stress on decision making process to provide a deeper understanding of the decision making phenomenon. The literature review reveals that stress can have an impact on each stage of the decision-making process. The review also finds that decision makers could enhance their decision-making performance and prevent potential decision failures by means of adapting certain coping strategies.</p>

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